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  • Upcoming Classes

    PI System Architecture, Planning, & Implementation (English)
    Apr 23 - Apr 26, 2018 | Frankfurt am Main, Germany

    The PI System Architecture, Planning, & Implementation class deals with the issues surrounding the implementation of a PI System. This class will concentrate on the server side of the PI System, and it will provide you with a working knowledge of the installation of both the Data Archive and AF Server. In this class each student will work to successfully install a High Availability PI System, from interface to visualization tools. You will spend valuable time discussing the components and their requirements so you can understand the best way the PI System will fit into your own Enterprise.

    This course requires no previous knowledge of the PI System.

    The class is four days long. Class starts at 8:30 a.m. and ends at 4:30 p.m. Lunch breaks are at 12 p.m. each day and last 60 minutes. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Building PI System Assets and Analytics with PI AF (Português) (Portuguese)
    Apr 24 - Apr 27, 2018 | Sao Paulo, Brazil
    No curso Building PI System Assets and Analytics with PI AF o administrador do sistema aprenderá a utilizar na prática o PI Asset Framework (PI AF). Como modelar equipamentos ou estruturas administrativas e depois utilizar estas informações em análises simples ou complexas que trabalham com informações críticas. O PI AF permite que um designer de aplicações identifique e customize os componentes e elementos que compõem um processo, associe dados em tempo real ou transformados para representar seus atributos, criar hierarquias entre as estruturas e aplicar notificações com regras específicas para criar alertas de condições específicas.

    Pré Requisitos
    • Conhecimentos básicos de arquitetura e ferramentas do PI System - Recomendamos realização do curso Visualizing PI System Data ou PI System Administration for IT Professionals antes de assistir este;

    • Conhecimentos básicos de Microsoft Excel;

    • Operações básicas de bancos de dados relacionais.


    Apesar do curso ser lecionado em Português, o(s) manual(is) do curso se encontra(m) no idioma original em inglês. Em alguns casos podemos oferecer os materiais em português de acordo com a disponibilidade.

    O curso possui duração de 4 dias. No primero dia, a aula iniciar-se-á às 08:30h e estimado para terminar às 17h, dependendo do aproveitamento e rendimento da turma. Nos dias restantes, as aulas podem iniciar-se às 08:00h ou 08:30h, dependendo da turma.
    Visualizing PI System Data (English)
    Apr 24 - Apr 26, 2018 | Houston, USA
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Building Basic Displays with PI ProcessBook Online Course (English)
    Apr 30 - May 18, 2018 | Online


    In this online course, you will learn how to use PI ProcessBook to access your process data. Through online videos and hands-on exercises, we will guide you on how to create a variety of displays, such as trends and bar graphs, to monitor your process. This course leverages the power of the intuitive Asset Framework structures to enable you to display attributes of an asset, search in AF, and build element relative displays.



    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Configuring PI Data Archive Security Online Course (English)
    Apr 30 - May 18, 2018 | Online
    In this online course, you will learn the skills necessary to configure security on the PI Data Archive using OSIsoft best practices. Specifically, you will learn how to create new PI Identities and assign them custom permissions on different areas of the PI Data Archive corresponding to the security needs of your users. Through hands-on exercises and course videos, you will practice how to tighten down your PI Data Archive security model to allow the minimum permissions needed for users and applications. A guided final project will help to reinforce concepts and skills covered in the video lectures.

    Note: Learners are encouraged to use their own development PI System. This allows each learner to leave the course with something immediately valuable in their enterprise. We do not recommend practicing security in a production environment.

    Don't have access to a PI System sandbox?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated and safe PI system sandbox, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Criando Relatórios Básicos com PI DataLink (Portuguese)
    Apr 30 - May 18, 2018 | Online
    Neste curso você aprenderá como utilizar esta ferramenta cliente para acessar seus dados de processo em tempo real, criar relatórios dinâmicos e utilizá-los no suporte a tomada de decisões na sua empresa. O PI Data Link é o suplemento do MS Excel que permite aos usuários trabalhar com esta informação. Através de atividades passo a passo, você será instruído a obter valores em tempo real e históricos para uma tag, além de trazer dados para um período. Este curso também mostrará como utilizar estruturas do PI AF para mostrar atributos e totalizadores de informação em seu s valores reais e históricos.

    É importante ressaltar que cada usuário deverá utilizar seu próprio software e estruturas de dados, fazendo esta atividade com dados da própria unidade. A intenção é fazer com que os relatórios criados possam ter um impacto direto no seu dia de operação.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to immediately leave the course with something valuable to their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Customizing PI Vision with Extensibility Online Course (English)
    Apr 30 - May 18, 2018 | Online


    This online course introduces you to creating your own custom symbols and tool panes using the Extensibility Framework available in PI Vision 2017. Throughout the course, you will create symbols with one data point, multiple data points, symbols with customizable configurations and custom tools panes using JavaScript (with AngularJS), HTML, and CSS. There are 11 hands-on exercises tailored to apply the knowledge you've learned in the video lectures. Each exercise features an extra credit so that you can push yourself to learn more than what the course directly covers.

    By the end of the course, you will have the opportunity to create your own custom symbol or tool pane that is meaningful to you and your organization.

    Disclaimer


    PI Vision Extensibility is a CTP (Community Technical Preview). Although similar concepts of this extensibility model will be applied in PI Vision 2018, we do expect ‘breaking changes’ to occur in the next year. Developers should take this into consideration when planning to start building custom capabilities with the existing extensibility architecture. Also, PI Vision 2018 will be developed using Angular 4, while PI Vision 2017 was developed based on Angular 2.

    This online course is available to help you preview the possibilities and power of extensibility in PI Vision 2017. Due to the nature of the CTP status of this release, this course is offered free of charge to you.

    Items to consider:
    • Often a valuable extension can be achieved in a matter of days allowing almost immediate value. For this type of project, little hesitation should be considered to move forward regardless of future changes to the extensibility architecture.
    • Projects that will require a considerable amount of effort and potential rework based on the future release may want to consider the impact of compatibility.
    With breaking changes anticipated, OSIsoft does not plan to change the CTP status of PI Vision Extensibility until the release of PI Vision 2018 with Angular 4. For more information, please refer to this post by the PI Visualization team.

    When the extensibility feature in PI Vision is released for general availability in the future, we will come back with an updated official online course.

    Audience

    This course is best suited for developers who are interested in learning different options to customize the PI Vision 2017

    Prerequisites

    • This course requires basic knowledge of JavaScript, HTML, and CSS
    • Familiarity with AngularJS and Git/Github is an asset

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Analyzing PI System Data (English)
    May 02 - May 04, 2018 | Frankfurt am Main, Germany

    The Analyzing PI System Data course is data oriented concentrating on viewing the PI System data, combining PI System data with other data, and creating reports allowing the analysis of the data through Business Intelligence (BI) tools. This class will teach you about different clients and tools to view your PI Data. Learn how to import PI System Data through the PI Integrator for Business Analytics and merge it with external data to create easy-to-read reports, reduce reports associated with related data, and publishing reports allowing easy sharing and ensuring one version of the truth being the focal point. The class will cover aspects of the following tools; PI Integrator for Business Analytics, Microsoft Excel, Microsoft PowerPivot, Microsoft PowerView, Microsoft PowerBI, and Tibco Spotfire. If you feel like writing business reports is too difficult, this may be the course for you. We will build upon your existing application knowledge with hands-on activities to help you slice and dice your business data.

    The class is 3 days long. Class will start promptly at 8:30am and is scheduled to 4:30 with a one hour lunch break. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class.

    Building Asset Hierarchies with PI AF Online Course (English)
    May 07 - May 25, 2018 | Online


    In this online course, you will learn the skills needed to successfully model your processes and equipment using Asset Framework (AF). This course discusses the methodologies needed to build representations of assets (AF Elements) and their associated data (AF Attributes). You will see how elements and attributes help users successfully organize assets into hierarchies and unify data from multiple sources, such as real-time data from the PI Data Archive, metadata from relational sources and calculated data from AF formulas.

    Through online videos and hands-on practices, you will learn how to templatize elements and add Units of Measure (UOM) to standardize models across different assets or units of an organization. By the end of the course, you will be able to leverage templates to scale models out and compare like assets using OSIsoft client tools.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Building PI System Assets and Analytics with PI AF (English)
    May 07 - May 10, 2018 | SEEF Suburb, Bahrain

    The Building PI System Assets and Analytics with Asset Framework (AF) class provides a working knowledge of the power of the AF Server, an integral part of the PI System. You will learn to define consistent representations of organizational assets and/or equipment and use these representations in simple or complex analyses that yield critical and actionable information. AF allows an application designer to identify and customize the components or elements that make up a process, associate real-time, relational or calculated data with these elements, specify organizational structure via hierarchies or connectivity relationships, and apply calculations or rules against these assets and determine how results should be displayed.

    In this class we discuss and build basic AF elements and attributes, construct calculations, and configure relational database queries. In a simulated environment, Asset Analytics are used to calculate metric data for the Overall Equipment Effectiveness (OEE). We see how Event Frames are applies to monitor the production process for downtime situations and for process excursions. We explore the visualization of the information with different products of the PI Visualization Suite. In the advanced exercises we discuss combining the various elements to provide users complex information structures. We will build connections to relational databases and use that information in displays and analytics.

    Also covered in detail will be Notifications which allows users to configure custom alarms through a standard user interface based on any data source. Leveraging the generic data access and template-driven capabilities of AF users can redeploy alarm parameters in Notifications to similar assets across the Enterprise. When operational excursions occur, Notifications can send alerts to a single recipient, a group of contacts, or an escalation team that reflects the organization's chain of command.

    The class is four days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 26 classroom hours of instruction.

    Configuring Analytics with PI AF Online Course (English)
    May 07 - May 25, 2018 | Online


    In this online course, you will explore the power of Asset Framework (AF) by configuring various types of Asset Analytics and Notifications. We will guide you on how to set up expressions for multi-line analysis, configure rollups to aggregate attributes and use Event Frames and Notifications to automatically detect and alert process events associated with assets.

    Through hands-on exercises and final project, you will learn how to set up analyses using AF templates in order to deploy the analyses across the assets, to create tags in AF to store calculation results and also to backfill the analyses. Once the analyses are set up, you will be able to leverage the PI client tools such as PI DataLink and PI Vision to help visualize and understand the analyses.

    Note: Learners are encouraged to use their own software and their own data structures. This allows each learner to leave the course with something immediately valuable in their enterprise.

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Visualizing PI System Data (English)
    May 07 - May 09, 2018 | Frankfurt am Main, Germany
    In our Visualizing PI System Data class, you will learn how to use components of the PI Visualization Suite to access and combine your process data with your enterprise data. Learn how to build visually compelling web based dashboards with PI Coresight. We will show you how to use PI ProcessBook, our tool for creating dynamic, interactive graphical displays featuring real-time PI System data, and PI DataLink, our add-in that allows user to access and deliver data to and from Microsoft Excel and create easy-to-read reports. Much of the class time is dedicated to hands-on activities. The class is three days long. Class will start promptly at 8:30 a.m. and is scheduled to run until 4:30 p.m. We will break for lunch for one hour each day. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class. This class provides 20 classroom hours of instruction. No PI Server management, tag building, or VBA scripting is taught in this class.
    Visualizing PI System Data with PI Vision Online Course (English)
    May 07 - May 25, 2018 | Online


    In this self-paced online course, you will learn how to easily build dynamic, graphical, interactive web-based dashboards with PI Vision. This course will be dedicated to a series of exercises where the student is challenged to solve real-world problems using PI Vision. By the end of the course, you will have a working knowledge and new skills to use toward problem-solving with the PI System Data.

    Final Project - Build A Set of PI Vision Displays To Monitor My Process


    The course ends with a challenge to use all of the PI Vision features presented in class to build a complete data solution. The goal of this is two-fold: to reinforce in the student the new skills learned in the class and to allow more time for the student to ask questions and get clarification on concepts prior to returning to their job. If a student has access to their own PI System data, they will use this to build displays. If the student does not have access to their own data, they will use an AF Example Kit with demo data for an industry of their choosing.

    Audience

    This class is for beginning users of PI System data, and is often an individual’s first look at OSIsoft's products or PI Vision.

    Prerequisites

    No specific knowledge of the PI System software is required.

    Software Requirements

    Note: Learners are encouraged to use their own software and data structures. This allows each learner to immediately leave the course with something valuable to their enterprise. The software requirements for completing the exercises and the final project are as follows:
    • PI Vision 2017 or later (connected to PI Data Archive and Asset Framework)

    Don't have access to your own PI System?

    This online course can be purchased together with the Virtual Learning Environment (VLE), an isolated environment, designed to enhance your learning experience. You will receive access for 21 days since the purchase.

    Add the 21 Days Course Virtual Learning Environment (Optional - Includes Additional Cost)
    Analyzing PI System Data (English)
    May 08 - May 10, 2018 | San Leandro, USA

    The Analyzing PI System Data course is data oriented concentrating on viewing the PI System data, combining PI System data with other data, and creating reports allowing the analysis of the data through Business Intelligence (BI) tools. This class will teach you about different clients and tools to view your PI Data. Learn how to import PI System Data through the PI Integrator for Business Analytics and merge it with external data to create easy-to-read reports, reduce reports associated with related data, and publishing reports allowing easy sharing and ensuring one version of the truth being the focal point. The class will cover aspects of the following tools; PI Integrator for Business Analytics, Microsoft Excel, Microsoft PowerPivot, Microsoft PowerView, Microsoft PowerBI, and Tibco Spotfire. If you feel like writing business reports is too difficult, this may be the course for you. We will build upon your existing application knowledge with hands-on activities to help you slice and dice your business data.

    The class is 3 days long. Class will start promptly at 8:30am and is scheduled to 4:30 with a one hour lunch break. When making travel arrangement for the class, please plan to remain on site to the completion of the final exercise. This should be no later than 4:30 on the last day of the class.

    Analyzing PI System Data (Português) (Portuguese)
    May 08 - May 10, 2018 | Sao Paulo, Brazil

    O curso Analyzing PI System Data tem foco no processamento e visualização de dados do PI System e de outros sistemas utilizando ferramentas de BI (Business Intelligence). Aprenda como importar dados de seu PI System com o PI Integrator for Business Analytics e combine com dados externos para criar relatórios ricos em informações que permitem a publicação e compartilhamento da mesma versão do relatório.

    Este curso utilizará as seguintes ferramentas: PI Integrator for Business Analytics, Microsoft Excel, Microsoft PowerPivot, Microsoft PowerView, Microsoft PowerBI, e Tibco Spotfire.

    Caso você possua dificuldades para montar este tipo de relatório, neste curso, utilizamos diversas atividades práticas que lhe auxiliarão a construir um relatório que agregue valor a seu negócio ou empresa.

    Recomendação - Visualizing PI System Data



    Pré-requisitos
    Neste curso não ensinaremos os tópicos básicos dos produtos e arquiteturas utilizados. Além da experiência utilizando PI System com a Construção de Templates do PI AF, sugerimos ainda conhecimento de Microsoft Excel, PI DataLink e especialmente experiência construindo relatórios gerenciais.

    Apesar do curso ser lecionado em Português, o(s) manual(is) do curso se encontra(m) no idioma original em inglês. Em alguns casos podemos oferecer os materiais em português de acordo com a disponibilidade.

    O curso possui duração de 4 dias. No primero dia, a aula iniciar-se-á às 08:30h e estimado para terminar às 17h, dependendo do aproveitamento e rendimento da turma. Nos dias restantes, as aulas podem iniciar-se às 08:00h ou 08:30h, dependendo da turma.
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